Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 24.3% higher average benchmark score. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
xAI
Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
1 month newer
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Grok-4 Heavy
xAI
2025-07-09
Average performance across 31 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
Grok-4 Heavy
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Grok-4 Heavy
2024-12-31
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
Grok-4 Heavy
Gemma 3n E2B Instructed LiteRT (Preview)
Grok-4 Heavy